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    "# LR和GBDT的混合模型\n",
    "\n",
    "## 背景知识\n",
    "\n",
    "- 来自 Facebook 一篇论文 Practical Lessons from Predicting Clicks on AD at Facebook\n",
    "\n",
    "- 使用混合模型的原因是因为逻辑回归需要繁琐的特征处理\n",
    "\n",
    "- 树模型具有feature transform能力，使用树模型产生结果作为特征输入到LR模型\n",
    "\n",
    "## 优点\n",
    "\n",
    "- 利用树模型进行特征转化\n",
    "\n",
    "## 缺点\n",
    "\n",
    "- 两个模型分别训练，不是联合训练，可解释性不强"
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